Sold by: WEKA
Deployed on AWS
NeuralMesh by WEKA is the world's only storage system purpose-built for accelerating AI, GPU-intensive, and HPC workloads at scale.
Overview
NeuralMesh by WEKA is the worlds only storage system purpose-built for accelerating AI at scale. WEKAs software-defined microservices architecture does not just handle scale, it gets faster, more efficient, and resilient at exabytes and beyond. Its designed for ultimate flexibility, adapting effortlessly to your deployment strategy from bare metal to AWS. NeuralMesh by WEKA was engineered to eliminate these bottlenecks, delivering consistent microsecond latency, scalable resilience, and container-native flexibility across any deployment model.
At its core, WEKA is built on an innovative architecture that accelerates AI model training by 10x while achieving 93% GPU utilization, dramatically reducing time-to-insight for complex workloads. The platform seamlessly integrates with AWS and supports multiple storage protocols (S3, POSIX, NFS, CSI), enabling 90% faster data pipelines and efficient hybrid cloud workflows.
What sets WEKA apart is its intelligent data management system that automatically extends your namespace to Amazon S3, optimizing storage costs while maintaining accessibility. The platforms dynamic scaling capability ensures you only pay for resources when needed, delivering up to 65% reduction in storage infrastructure costs compared to traditional solutions.
NeuralMesh by WEKA is particularly valuable for:
Drug Discovery: Accelerate cryo-em workflows from weeks to hours Genomics: Reduce genomic processing workflows from months to days Content Production: Achieve 120 frames per second rendering in cloud environments AI Foundation Model Training: Train models at exabyte scale while maintaining terabyte-level costs AI inference at Scale: Sub-millisecond latency at petabyte scale to drive responsive AI applications HPC Organizations: Execute complex scientific simulations with unprecedented efficiency HiTech and EDA: 30x improvement in checkout times and support for full chip and semiconductor design in AWS
WEKA supports AWS SageMaker HyperPod workloads by accelerating distributed model training by 35%, reducing checkpoint times by 90%, and cutting model data load times by 50%. This integration delivers 5x faster storage performance, transforming month-long training to days while maintaining over 93% GPU utilization. Enterprises seeking to future-proof their storage while maximizing ROI, WEKA offers the perfect blend of on-prem performance with cloud flexibility.
For enterprises seeking to future-proof their data infrastructure while maximizing ROI, WEKA offers the perfect blend of on-premises performance with cloud flexibility, making it the definitive choice for next-generation computing needs
*NOTE: Amazon EC2 instances and Amazon S3 cost is not included in the WEKA licensing.
Pricing is a starting point and is discounted based on total consumption and committed term. Contact orders@weka.io to discuss private contracts and custom prices.
Highlights
- Accelerate AI and HPC applications on AWS: Deliver performance for your most demanding applications running in AWS with the worlds fastest storage system. WEKA accelerates AI model training by reducing training cycles from weeks to hours, enabling AI teams to iterate models and reach production quality faster.
- Build Boldly to Exabytes and Beyond: NeuralMesh by WEKA effortlessly scales to exabytes of diverse data from tiny training files to massive multimodel datasets without the networking complexity or architectural overhauls that break traditional systems. WEKA provides the ability to consolidate multiple storage tiers and namespaces into a single platform, cutting storage management complexity by up to 90% and eliminating the operational overhead of maintaining disparate systems.
- Make Every Infrastructure Dollar Count: Stop wasting millions on infrastructure. Get more out of every dollar spent by fueling GPU productivity and eliminating infrastructure waste. NeuralMesh by WEKA will maximize GPU utilization and achieve up to 93% (from an average of 30%) and ensure your GPUs are never starved for training data.
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Deployed on AWS
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Financing for AWS Marketplace purchases
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Price/TB - Flash NVMe | Flash NVMe storage (Discounted based on consumption and term) | $1,000.00 |
Price/TB - Object | Object Tier (Discounted based on consumption and term) | $50.00 |
Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
Support is offered through the Weka Support Portal. Log in to https://support.weka.io/ to access useful resources including user documentation, helpful tools and tips from our knowledge base, get the latest news and product releases, submit feature requests, ask questions and report issues. https://support.weka.io/
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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By WEKA
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In High Performance Computing
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In Migration, Backup & Recovery, Storage
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Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Storage Architecture
Software-defined microservices architecture designed for scalable and flexible data storage across multiple deployment models
Performance Acceleration
Innovative storage system that accelerates AI model training by 10x while achieving 93% GPU utilization
Multi-Protocol Support
Seamless integration with multiple storage protocols including S3, POSIX, NFS, and CSI for efficient data pipeline management
Dynamic Namespace Management
Intelligent data management system that automatically extends namespace to Amazon S3 with dynamic scaling capabilities
Distributed Training Optimization
Supports distributed model training with accelerated checkpoint times and reduced data load times for complex computational workloads
Multi-Protocol File Access
Support for multiple file access protocols including NFS, SMB, FTP, and HTTP REST on a single file namespace
High Availability Architecture
Built-in high availability configuration with automatic data protection against EBS storage failures
Enterprise Authentication
Microsoft Active Directory integration for centralized user authentication and access management
Data Protection Mechanisms
Advanced data protection features including snapshots, quotas, replication, and auditing capabilities
Storage Access Controls
Comprehensive share and export restrictions for granular access management and security enforcement
Storage Protocol Support
Provides native access through SMB and NFS protocols from a single shared storage appliance
Data Orchestration
Enables automated data tiering and supports multiple AWS S3 storage classes from Standard to Glacier Deep Archive
Performance Optimization
Delivers guaranteed performance up to 99% capacity for intensive media and data-intensive workloads
Data Portability
Implements a unique data-portable approach ensuring unrestricted data accessibility at rest without vendor lock-in
Cloud Workflow Integration
Supports cloud-based workflows for media production, post-production, and visual effects processing
Standard contract
No
No
Customer reviews
0 ratings
0 AWS reviews
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4 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
parth p.
Best MLOps provider
Reviewed on May 24, 2025
Review provided by G2
What do you like best about the product?
Their AI data pipelines reduced our cycle time by 80%, super awesome.
What do you dislike about the product?
none so far, all of our experience were good.
What problems is the product solving and how is that benefiting you?
AI data pipelines that is superior to any other solutions we've used so far.
AwaisAnwar
Open source, good for basic data mining use cases except for the visualization results
Reviewed on Dec 27, 2023
Review provided by PeerSpot
What is our primary use case?
In my university, we used Weka. Weka was used in marketing by my professor, I was preparing a presentation for PhD proposals specifically on energy consumption and renewable resource utilization. So, I needed data mining tools.
What is most valuable?
Weka's is fine for basic results, no big issues there.
But if you need visualizations, it's not the best choice. For someone who just needs analysis, Weka serves the purpose.
But nowadays, good visuals are crucial for presenting findings and telling a story. In my practical experience at the university, when people need quick results with strong visualizations, I don't recommend Weka.
What needs improvement?
I haven't found it particularly useful. It lacks state-of-the-art algorithms and impressive outcomes. While it might offer insights for basic warehouse tasks, it falls short of deeper understanding and results.
Moreover, a new user interface would be great, especially for beginners. Something that guides them through the available tools and helps them achieve their goals. I haven't seen anything like that myself, though maybe it's there and I missed it.
For how long have I used the solution?
I worked with Weka for about a year and a half.
What do I think about the stability of the solution?
It is a stable product.
What do I think about the scalability of the solution?
It is very easy to scale. I would rate the scalability a seven out of ten.
Which solution did I use previously and why did I switch?
My primary interest lies in energy analytics, optimization, and related fields.
Unfortunately, I couldn't complete the project due to work commitments, but I realized KNIME would have been far better suited for such analysis. For data mining, I had two main options: Python libraries and KNIME. KNIME is a bit expensive, requiring membership, so I opted for Python's ease of use.
Python libraries offer free access and flexibility for various data mining tasks. Python is better than some of the state-of-the-art software.
How was the initial setup?
Weka's ease of use is around seven out of ten. Anyone can pick it up. But the results could be improved, especially visualizations.
We used it offline, directly on the software.
The deployment is in between. Not super fast, but I haven't used other software for comparison.
Python libraries seem quicker at giving results, but Weka's not terribly slow for backups. It took a good three hours, but not excessively long.
What's my experience with pricing, setup cost, and licensing?
Weka is free and open-source software. That is why I used it over KNIME.
What other advice do I have?
I recommend it. It's been around in the industry for a while, and I consider it one of the best, except for the visualization issue. It does not have good user-friendly graphics. It does not offer good visualization or presentation. Otherwise, it's very viable.
Overall, I would rate the solution a seven out of ten.
Dragana Radosavljevic
Has a great interface, and good documentation and algorithms
Reviewed on Aug 15, 2023
Review provided by PeerSpot
What is most valuable?
The interface is very good, and the algorithms are the very best. Weka has a lot of algorithms and beautiful documentation for beginner learning. It is very good for my students. My students use Weka to learn data mining.
What needs improvement?
Weka could be more stable.
For how long have I used the solution?
I have been using Weka for about five years.
What do I think about the scalability of the solution?
Weka is scalable. About 50 people use Weka in my organization.
How was the initial setup?
The initial setup is very easy.
The solution is deployed on the cloud for the local computer.
What's my experience with pricing, setup cost, and licensing?
We use the free version now. My faculty is very small.
What other advice do I have?
Weka is a good product.
Overall, I would rate Weka a nine out of ten.
Medical Devices
good and pleasent
Reviewed on Nov 27, 2022
Review provided by G2
What do you like best about the product?
deploys anywhere without problems on our operation systems
What do you dislike about the product?
a little bit expensive compared to other products available on the market
What problems is the product solving and how is that benefiting you?
Legacy storage designs have forced customers to deploy different architectures to satisfy the needs of different workloads